MINING SENSOR DATA STREAMS - Managing and Mining Sensor Data - page 142

Chapter 6
MINING SENSOR DATA STREAMS
Charu C. Aggarwal
IBMT.J.WatsonResearchCenter
Yorktown Heights, NY
[e-mail]
Abstract
In recent years, advances in hardware technology have facilitated
new ways of collecting data continuously. One such application is that
of sensor data, which may continuously monitor large amounts of data
for storage and processing. In this paper, we will discuss the general
issues which arise in mining large amounts of sensor data. In many
cases, the data patterns may evolve continuously, as a result of which
it is necessary to design the mining algorithms effectively in order to
account for changes in underlying structure of the data stream. This
makes the solutions of the underlying problems even more dicult from
an algorithmic and computational point of view. In this chapter we
will provide an overview of the problem of data stream mining and the
unique challenges that data stream mining poses to different kinds of
sensor applications.
Keywords: Data Streams, Sensor Data, Sensor Stream Mining
1. Introduction
In recent years, advances in sensor technology have lead to the ability
to collect large amounts of data from sensors in an automated way. When
the volume of the underlying data is very large, it leads to a number of
computational and mining challenges:
With increasing volume of the data, it is no longer possible to
process the data eciently by using multiple passes. Rather, one